Flow Shift from Urban Roads to Beltway Expressway under a Tradable Credit Scheme to Alleviate Urban Traffic Congestion by Jimeng Tang, Yongxiang Zhu, Yue Yu, Lu Cai

“…Within this framework, a gradient projection method is utilized within the augmented Lagrangian multiplier algorithm to solve the lower-level problem and evaluate the fitness of the TCS. …”
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Mape: defending against transferable adversarial attacks using multi-source adversarial perturbations elimination by Xinlei Liu, Jichao Xie, Tao Hu, Peng Yi, Yuxiang Hu, Shumin Huo, Zhen Zhang

“…MAPE comprises the single-source adversarial perturbation elimination (SAPE) mechanism and the pre-trained models probabilistic scheduling algorithm (PPSA). SAPE utilizes a thoughtfully designed channel-attention U-Net as the defense model and employs adversarial examples generated by a pre-trained model (e.g., ResNet) for its training, thereby enabling the elimination of known adversarial perturbations. …”
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Multiobjective Optimization of Hard Turning on OHNS Steel Using Desirability and TOPSIS Approaches by C. Manikandan, B. Rajeswari, Dhanesh G. Mohan, R. M. Aravind

“…RSM solution with 81.3% desirability, the cutting speed of 60 m/min, feed rate of 0.08 mm/rev, and depth of cut 1 mm as the optimal cutting parameters; similarly, TOPSIS algorithm calculation identifies the cutting parameter combinations, such as 40 m/min cutting speed, 0.09 mm/rev feed rate, and 1 mm depth cut to enrich the quality of the machined steel; however, the desirability approach cutting parameter setting is better for the surface finish achievement, while TOPSIS solution is better to obtain significant MRR. …”
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A Granulocyte-Specific Protein S100A12 as a Potential Prognostic Factor Affecting Aggressiveness of Therapy in Patients with Juvenile Idiopathic Arthritis by Krzysztof Orczyk, Elzbieta Smolewska

“…Further elaboration on the clinical algorithm is necessary for that protein to be included in everyday practice.…”
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Comparison and Estimation of Surface Albedo of Various Levels of Land use by SEBAL and METRIC Methods by Mehdi Asadi, Khalil Valizadeh khamran, Mohammad Baaghdeh, Hamed Adab

“…To determine the type of usage of different levels, the maximum likelihood algorithm classification method was used with Kappa coefficient of 86.14% and overall accuracy of 92.63%. …”
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Computer-Assisted Quantitative Analysis of Skeletal Muscles of Snowboarding Parallel Giant Slalom Athletes after Exercise Based on Artificial Intelligence and Complex Networks by Haiqiang Yu, Fei Yang, Jin Wang

“…In addition, a motion target positioning algorithm was used to obtain some motion parameters, which provided direct help for athletes in rationally arranging training load and scientific training. …”
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Preprocessing LOFARgram through U-Net++ neural network by Dan Peng, Xichen Xu, Wenhua Song, Dazhi Gao

“…Additionally, we introduce a new algorithm that utilizes data prior to the Closest Point of Approach (CPA) to predict the CPA parameters, applied to both the original LOFARgrams and those processed with U-Net++. …”
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Advances in the application of human-machine collaboration in healthcare: insights from China by Wuzhen Wang, Liangji Liu

“…“Human–machine collaboration” is based on an intelligent algorithmic system that utilizes the complementary strengths of humans and machines for data exchange, task allocation, decision making and collaborative work to provide more decision support. …”
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Adaptive Frequency Regulation of Doubly-Fed Pumped Storage Unit Considering Speed and Power Limit by LAO Wenjie, SHI Linjun, WU Feng, YANG Dongmei, LI Yang

“…Then, the impacts of control parameters on the frequency dynamic response are analyzed, and the calculation method of optimal frequency regulation parameters under multi conditions is proposed based on the improved particle swarm optimization algorithm, which aims at minimizing the frequency deviation and takes the speed and power limit of the unit as constraints. …”
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Enhancing spectral imaging with multi-condition image fusion by Joana Teixeira, Tomás Lopes, Diana Capela, Catarina S. Monteiro, Diana Guimarães, Alexandre Lima, Pedro A. S. Jorge, Nuno A. Silva

“…Drawing inspiration from multi-exposure fusion techniques, we propose an algorithm that calculates a global weight map using exposure and contrast metrics. …”
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Adaptation features of the invasive species <i>Berberis aquifolium</i> Pursh and <i>Daphne laureola</i> L. in forest communities on the Southern Coast of Crimea by N. A. Bagrikova, Z. D. Bondarenko

“…The JUICE platform and the PC-ORD 5.0 algorithm were employed to perform the cluster analysis, and the PAST 3.26 software for the ordination analysis. …”
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RSM-, ANN-, and GA-Based Process Optimization for Acid Centrifugation Treatment of Cane Molasses Toward Mitigating Calcium Oxide Fouling in Ethanol Plant Heat Exchanger by Lata Deso Abo, Sintayehu Mekuria Hailegiorgis, Mani Jayakumar, Sundramurthy Venkatesa Prabhu, Gadissa Tokuma Gindaba, Abas Siraj Hamda, B. S. Naveen Prasad

“…However, the genetic algorithm (GA) optimization resulted in an actual CaO reduction of 66.21 wt.% with a t-test value of 0.497726.…”
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Research on Optimization of Injection Molding Process Parameters of Automobile Plastic Front-End Frame by Kai Yang, Lingfeng Tang, Peng Wu

“…A back propagation (BP) neural network model with input as a process parameter and output as an evaluation index is established by MATLAB and optimized by a genetic algorithm (GA). Finally, the optimized neural network model was used to predict the combination of process parameters with the minimum volume shrinkage and warpage amount. …”
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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…Additionally, 1000 and 4000 are the two most optimal feature subsets selected by the SVM-RFE algorithm. The SDAE and VAE models built with these feature subsets achieve the best classification results. …”
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Research on Optimization Technology of Minimum Specific Fuel Consumption for Triple-Bypass Variable Cycle Engine by Haonan Guo, Yuhua Zhang, Bing Yu

“…The contribution of each control variable to the engine’s specific fuel consumption was computed using the PSM and, at the same time, due to the linear characteristics of the PSM, it was easy to deal with various constrained linear optimization problems, and the steady-state points with the smallest specific fuel consumption under the constraints could be obtained through the linear optimization algorithm; however, the surge margin and pre-turbine temperature of the optimized point were limited in the optimization process, the method of direct switching inevitably brought the problem of overshoot of the controlled quantity, and the actual controlled quantity could still exceed the safe operation boundary of the engine in the process of change. …”
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Glycolytic pathways: The hidden regulators in Parkinson's disease by Jing Shen, Ensheng Yao, Weidong Tian, Jia He, Yukai Gu, Dong Zhao

“…We constructed a PD diagnosis model using the SVM algorithm for differentially expressed glycolysis-related genes and verified the model with LASSO regression analysis. …”
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Revising Transient-Pressure Solution for Vertical Well Intersected by a Partially Penetrating Fracture with Non-Darcy Flow Effect by Shuheng Cui, Jie Kong, Hongwei Yu, Cheng Chen, Junlei Wang

“…A high-effective iterative algorithm using a combined technique of fracture-panel discretization and dimension transform is developed to render the nonlinear equations amenable to analytical linear treatment. …”
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Distributed delays in a hybrid model of tumor-Immune system interplay by Giulio Caravagna, Alex Graudenzi, Alberto d’Onofrio

“…We instantiate the model withtwo well-known weak and strong delay kernels and perform simulations by using an algorithm to generate trajectories of this process.…”
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Meteorological-Hydrological-Agricultural Drought Analysis of Devegeçidi Reservoir by Nermin Şarlak, Abdullah Muratoğlu, Şahnaz Tiğrek

“…The monthly average reservoir volume, monthly total water inflow and monthly total water consumption data for the years 2008-2021 were first analyzed by Mann-Kendall trend analysis method and then by Locally Weighted Scatterplot Smoothing algorithm. Standard Precipitation Index (SPI), Palmer (PDSI) and self-calibrated Palmer (sc-PDSI) drought indices were applied to reveal the relationship between hydrological drought problem and precipitation data. …”
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Considerations in the search for epistasis by Marleen Balvert, Johnathan Cooper-Knock, Julian Stamp, Ross P. Byrne, Soufiane Mourragui, Juami van Gils, Stefania Benonisdottir, Johannes Schlüter, Kevin Kenna, Sanne Abeln, Alfredo Iacoangeli, Joséphine T. Daub, Brian L. Browning, Gizem Taş, Jiajing Hu, Yan Wang, Elham Alhathli, Calum Harvey, Luna Pianesi, Sara C. Schulte, Jorge González-Domínguez, Erik Garrisson, Lorentz workshop on epistasis, Michael P. Snyder, Alexander Schönhuth, Letitia M. F. Sng, Natalie A. Twine

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